IEEE

Unsupervised Domain-Adaptive Semantic Segmentation for Surgical Instruments Leveraging Dropout-Enhanced Dual Heads and Coarse-Grained Classification Branch

Abstract: Accurate semantic segmentation for surgical instruments is crucial in robot-assisted minimally invasive surgery, mainly regarded as a core module in surgical-instrument tracking and ...
Frontiers

Which pronator are you? New perspectives from an unsupervised clustering approach in running

Introduction: Excessive pronation is still considered as a factor partially involved in the running-related injury risk despite inconsistent evidence. The between-runner variability and the way ...
Frontiers

Subdomain adaptation method based on transferable semantic alignment and class correlation

1 Department of Computer Engineering, Maoming Polytechnic, Maoming, China 2 China Mobile Communications Group Guangdong Co., Ltd., Maoming Branch, Maoming, China To address these challenges, we ...
IEEE

Classification of Equatorial Ionospheric Irregularities Using Unsupervised Machine Learning Based on Spatiotemporal ROTI Keograms

Abstract: Equatorial ionospheric irregularities, particularly those associated with equatorial plasma bubbles (EPB), can significantly disrupt satellite navigation and communication systems. As the ...